Michael Eliot Bales   Research Impact and Evaluation Informationist

  • +1 646 962 2552

As a data scientist with a background in epidemiology and informatics, I apply a variety of methods, including social network analysis, natural language processing, and data visualization to research impact assessment. I contribute to a variety of open-source software initiatives, including the researcher profiling system VIVO and the author name disambiguation system ReCiter. A certified de-identification professional, I develop policies and procedures for the Data Core, a secure, scalable computing and storage environment that allows researchers to work with data while meeting appropriate regulatory requirements for data protection.

biomedical informatics
data visualization
geographic information systems
interaction design
natural language processing
social network analysis


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teaching overview

  • Served as co-instructor of graduate level data mining course Computational Methods in Health Informatics. A certified Data and Software Carpentries instructor, teach several classes on structured query language (SQL). Teach Science of Team Science: Practical Approaches to Working Effectively in Scientific Teams.



Primary Email

  • meb7002@med.cornell.edu